Evidence map›Paper›PMID 30286807›Full record

ArticleMicrobiome2018

Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas.

Marcos Pérez-Losada, Kayla J Authelet, Claire E Hoptay, Christine Kwak, Keith A Crandall, Robert J Freishtat

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Oral Microbiota and Pediatric Asthma Phenotype: A New Window for Biomarkers?American journal of respiratory and critical care medicine · 2023
    Article
  10. Article
  11. Review
  12. Review
  13. A Review on the Nasal Microbiome and Various Disease Conditions for Newer Approaches to Treatments.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
    Article
  14. Article
  15. Review
  16. Article
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  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Marcos Pérez-LosadaComputational Biology Institute, Milken Institute School of Public Health,, George Washington University, Innovation Hall, Suite 305, 45085 University Drive, Ashburn, VA, 20147, USA. mlosada323@gmail.com.ORCID 0000-0002-2585-4657
Kayla J AutheletDivision of Emergency Medicine, Children's National Medical Center, Washington, DC, 20010, USA.
Claire E HoptayDivision of Emergency Medicine, Children's National Medical Center, Washington, DC, 20010, USA.
Christine KwakDivision of Emergency Medicine, Children's National Medical Center, Washington, DC, 20010, USA.
Keith A CrandallComputational Biology Institute, Milken Institute School of Public Health,, George Washington University, Innovation Hall, Suite 305, 45085 University Drive, Ashburn, VA, 20147, USA.
Robert J FreishtatDivision of Emergency Medicine, Children's National Medical Center, Washington, DC, 20010, USA.
Children's National · USMilken Institute · US

Funding

Clinical and Translational Science Institute at Children's NationalUL1TR000075 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2012 to 2015
$13.7M
Child Health Research Career Development Award (CHRCDA) Program at Children's NationalK12HD001399 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI NATHAN KUPPERMANN · 2001 to 2026
$9.1M
Nasal microRNA during bronchiolitis and age 6y asthma phenotypes: MARC-35 cohortR01AI127507 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO, FREISHTAT, ROBERT J · 2017 to 2021
$8.0M
Vitamin D, Steroids, and Asthma in African American YouthR01MD007075 · NIMHD · CHILDREN'S RESEARCH INSTITUTE · PI FREISHTAT, ROBERT J · 2012 to 2016
$2.2M
K12 Career Development Program: Omics of Pediatric Lung Diseases in DCK12HL119994 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI FREISHTAT, ROBERT J · 2013 to 2017
$1.3M
NCATS NIH HHS UL1 TR000075NHLBI NIH HHS K12 HL119994NIAID NIH HHS R01 AI127507NICHD NIH HHS K12 HD001399NIMHD NIH HHS R01 MD007075
6 · The paper itself

Abstract

backgroundPediatric asthma is the most common chronic childhood disease in the USA, currently affecting ~ 7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying clustering approaches to patient clinical information. Extensive evidence has shown that the airway microbiome impacts both clinical heterogeneity and pathogenesis in pediatric asthma. Yet, so far, airway microbiotas have been consistently neglected in the study of asthma phenotypes. Here, we couple extensive clinical information with 16S rRNA high-throughput sequencing to characterize the microbiota of the nasal cavity in 163 children and adolescents clustered into different asthma phenotypes.

resultsOur clustering analyses identified three statistically distinct phenotypes of pediatric asthma. Four core OTUs of the pathogenic genera Moraxella, Staphylococcus, Streptococcus, and Haemophilus were present in at least 95% of the studied nasal microbiotas. Phyla (Proteobacteria, Actinobacteria, and Bacteroidetes) and genera (Moraxella, Corynebacterium, Dolosigranulum, and Prevotella) abundances, community composition, and structure varied significantly (0.05 < P ≤ 0.0001) across asthma phenotypes and one of the clinical variables (preterm birth). Similarly, microbial networks of co-occurrence of bacterial genera revealed different bacterial associations across asthma phenotypes.

conclusionsThis study shows that children and adolescents with different clinical characteristics of asthma also show different nasal bacterial profiles, which is indicative of different phenotypes of the disease. Our work also shows how clinical and microbial information could be integrated to validate and refine asthma classification systems and develop biomarkers of disease.

Indexed as

AdolescentAsthmaChildFemaleHaemophilusHigh-Throughput Nucleotide SequencingHumansMaleMicrobiotaMoraxellaNasopharynxNoseRNA, Ribosomal, 16SStaphylococcusStreptococcusRNA, Ribosomal, 16S16S rRNAAsthmaMicrobiomeNosePhenotype

Identifiers

PMID30286807
PMCPMC6172741
OpenAlexW2894705475

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.